A SAS-macro for estimation of the cumulative incidence using Poisson regression.
In survival analyses, we often estimate the hazard rate of a specific cause. Sometimes the main focus is not the hazard rates but the cumulative incidences, i.e., the probability of having failed from a specific cause prior to a given time. The cumulative incidences may be calculated using the hazard rates, and the hazard rates are often estimated by the Cox regression. This procedure may not be suitable for large studies due to limited computer resources. Instead one uses Poisson regression, which approximates the Cox regression. Rosthøj et al. presented a SAS-macro for the estimation of the cumulative incidences based on the Cox regression. I present the functional form of the probabilities and variances when using piecewise constant hazard rates and a SAS-macro for the estimation using Poisson regression. The use of the macro is demonstrated through examples and compared to the macro presented by Rosthøj et al.
Waltoft
Berit Lindum
BL
National Centre for Register-based Research, University of Aarhus, Taasingegade 1, 8000 Aarhus C, Denmark. bel@ncrr.dk
D001699:Biometry; D003718:Denmark / Q000453:epidemiology; D005260:Female; D006801:Humans; D008297:Male; D008545:Melanoma / Q000401:mortality / Q000473:pathology; D016012:Poisson Distribution; D016016:Proportional Hazards Models; D012559:Schizophrenia / Q000453:epidemiology; D012984:Software; D016019:Survival Analysis